About Khadidja
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Experience
- sfrPython EngineerTELECOMMUNICATIONSMay 2022 - May 2025 (3 years)Paris, FranceWithin Altice France – SFR, I worked for 3 years as a Python / Django Developer as part of the redesign of an application system managing SFR and RED fixed-line subscriptions.I was involved in the entire backend development cycle, including:🔹 Design & ArchitectureModeling of relational databases and management of relationships (One-to-One, One-to-Many, Many-to-Many)Structuring of REST APIs and endpoints according to business needsImplementation of schemas and management of configurations via Django🔹 Backend DevelopmentDevelopment of robust APIs with Django REST FrameworkUse of different view methods: ViewSets, APIView, Generic ViewsModel-based serialization and implementation of advanced filters via the ORMAuthentication management (Token, JWT) and permission implementationStorage and management of environment variables🔹 Quality & TestingEndpoint testing via PostmanCreation of unit tests with PytestPerformance optimization (caching, ORM query optimization)🔹 DevOps & CI/CDUpdating and maintaining docker-compose filesManagement of Kubernetes manifests (YAML)Code versioning with Git / GitLabUpdating GitLab CI/CD pipelinesThis mission allowed me to gain solid experience in developing high-performance APIs, processing complex data, and managing orchestrated environments in production.
- GeolsemanticsData Scientist NLPAVIATION AND AEROSPACEApril 2019 - April 2020 (1 year)Gentilly, FranceI completed my end-of-study internship at the software publisher Geolsémantics as a Python developer and a junior Data Scientist for an internship followed by a 6-month fixed-term contract to strengthen the data team. I worked on projects related to automatic language processing (NLP) and contributed to the development of solutions exploiting textual data.
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Education
- Master Language and Computer Science / NLPLa Sorbonne2019Natural language processing (NLP) combines computational linguistics, machine learning, and deep learning models to process human language. Computational linguistics is the science of understanding and constructing human language models with computers and software tools.